The Department of Defense (DoD) has a huge budget that companies want to tap into, but selling to the DoD is different from commercial sales. This article discusses the key differences and how to approach selling to the DoD.
The past two decades have seen an exponential growth in data generated because of increased digitization of the business processes, instrumentation of devices, and the need to capture, collect and process vast quantities of unstructured data such as video and images. This evolution has resulted in the development of new programming languages, new data storage architectures, and rapid advances in the infrastructure and chip architectures required to transform these new aggregated data sets into business insight and competitive advantage for businesses and governments.
In this video, we will walk you through the setup process for the OSS 4U Pro Gen5 PCIe System. We utilize the OSS Short Depth Server (SDS) as the host for the purposes of this video, but the OSS 4U Pro can be connected to any server with an open x16 PCIe slot.
Edge computing is loosely defined as enterprise or industrial computing outside of a datacenter. The environments which encompass edge computing pose a unique set of challenges, requiring hardware to be designed to have a broad set of thermal and structural characteristics. For example, an edge computing device designed for an outdoor telecommunications application may be exposed to an extensive range of operating ambient temperatures, but it will experience little to no structural vibration or shock forces.
In this video, Braden Cooper presents a tour of the OSS booth at AFCEA West 2023 in San Diego, which took place from February 14th-16th. Braden discusses the products OSS showcased, including a few new products. OSS' Rugged Edge AI Transportable products provide GPU acceleration, FPGA data ingest, and NVMe storage for Edge AI Military Applications on land, on the sea and in the air.
The use of Artificial Intelligence (AI) in maritime applications is quickly becoming an integral part of the shipping industry. As technology advances, so does the potential of AI to help ships better navigate their routes, identify potential hazards, and make more informed decisions. Of course, AI can be used to support a wide variety of applications in traditional manned marine vessels, but the gold standard that is being developed in maritime settings is fully autonomous vessels. This blog post will explore some of the most promising use cases for AI in maritime applications, for both manned and unmanned vessels.